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First Online: 17 September 2023

Ethical Considerations

: We have not identified any immediate ethical concerns such as bias and discrimination, misinformation dissemination, privacy issues, originating from the contributions presented in this work. However, it is important to note that our models use computationally demanding functions, such as determining eigenvalues and eigenvectors, which may incur a negative environmental impact due to increased energy consumption. Nevertheless, SPD models do not outsuffer Euclidean and hyperbolic counterparts in terms of computational overhead. This is because Euclidean and hyperbolic models would require substantial computing resources when dealing with larger dimensions, a necessity for compensating for the challenges of embedding complex graphs into these ill-suited spaces.

Conference Information

Conference Acronym: ECML PKDD

Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference City: Turin

Conference Country: Italy

Conference Year: 2023

Conference Start Date: 18 September 2023

Conference End Date: 22 September 2023

Conference Number: 23

Conference ID: ecml2023

Conference URL: https://2023.ecmlpkdd.org/

Peer Review Information (provided by the conference organizers)

Type: Double-blind

Conference Management System: CMT

Number of Submissions Sent for Review: 829

Number of Full Papers Accepted: 196

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 3.63

Average Number of Papers per Reviewer: 4.5

External Reviewers Involved: Yes

Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.